MA120 Basic Concepts of Statistics
for F1HH 2010
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Course  MA 120 Basic Concepts of Statistics 
Semester  F1HH 2010 PA 
Faculty  Loar, Lawrence 
Title  Adjunct Faculty  Instructor 
Degrees/Certificates  Master of Science, Operations Management, University of Arkansas Bachelor of Science, Mathematics, Capital University Columbus, Ohio 
Daytime Phone  9373259644 
Other Phone  9374755839 
EMail  Lawrence.Loar@park.edu 
 chrisloar@woh.rr.com 
Semester Dates  16 Aug â€“ 10 Oct 2010 
Class Days  MWF 
Class Time  11:00  12:30 PM 
Credit Hours  3 
Textbook:
Elementary Statistics, 11th Edition by Mario F. Triola
Textbooks can be purchased through the MBS bookstore
Textbooks can be purchased through the Parkville Bookstore
Additional Resources:
Mandatory: Calculator. It is not necessary to spend an inordinate amount of money for a calculator. The type of calculator required will be discussed the first day of class.
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Course Description: MA120 Basic Concepts of Statistics (GE): A development of certain basic concepts in probability and statistics that is pertinent to most disciplines. Topics include: probability models, parameters, statistics and sampling procedures, hypothesis testing, correlation and regression. 3:0:3
Educational Philosophy:
To introduce students to many of the important concepts and procedures they are likely to need in order to (1) evaluate such daily inputs as organizational reports, newspaper articles, radio and television commentaries, (2) improve their ability to make better decisions over a wide range of topics, and (3) improve their ability to measure and cope with changing conditions both at home and on the job. The emphasis will be placed on explaining statistical procedures and interpreting the resulting conclusions.
Learning Outcomes:
Core Learning Outcomes
 Compute descriptive statistics for raw data as well as grouped data.
 Determine appropriate features of a frequency distribution.
 Apply Chebyshev's Theorem.
 Distinguish between and provide relevant descriptions of a sample and a population.
 Apply the rules of combinatorics.
 Differentiate between classical and frequency approaches to probability.
 Apply settheoretic ideas to events.
 Apply basic rules of probability.
 Apply the concepts of specific discrete random variables and probability distributions.
 Compute probabilities of a normal distribution.
 Compute confidence intervals of means and percentages.
 Perform hypothesis tests involving one population.
 Compute regression and correlation of Bivariate data.
Core Assessment: Description of MA 120 Core Assessment
One problem with multiple parts for each numbered item, except for item #3, which contains four separate problems.
1. Compute the mean, median, mode, and standard deviation for a sample of 8 to 12 data.
2. Compute the mean and standard deviation of a grouped frequency distribution with 4 classes.
3. Compute the probability of four problems from among these kinds or combinations there of:
a. the probability of an event based upon a twodimensional table;
b. the probability of an event that involves using the addition rule;
c. the probability of an event that involves conditional probability;
d. the probability of an event that involves the use of independence of events;
e. the probability of an event based upon permutations and/or combinations;
f. the probability of an event using the multiplication rule; or
g. the probability of an event found by finding the probability of the complementary event.
4. Compute probabilities associated with a binomial random variable associated with a practical situation.
5. Compute probabilities associated with either a standard normal probability distribution or with a nonstandard normal probability distribution.
6. Compute and interpret a confidence interval for a mean and/ or for a proportion.
Link to Class Rubric
Class Assessment:
The final course grade will be determined using the following measurements:
1. Test 1 20.00%
2. Test 2 20.00%
3. Comprehensive Final 25.00% (Core Assessment)
4. Homework 20.00%
5. Class Project 15.00%
Total 100.00%
The course grade for students will be based on the overall average of homework and tests taken during the course in accordance with the weighting of the various requirements as stated in the syllabus.
If the final is part of the core assessment. The final will be a departmental exam and it will be
provided to the instructor by the department of mathematics. The final is 2 hrs; books, notes, and a calculator are allowed
Grading:
The final grade will be based on the following scale:
A 92.5  100
B 85.0  92.0
C 77.5  84.5
D 70.0  77.0
F less than 70.0
Late Submission of Course Materials:
Late submission of homework will be accessed a 10% penalty for each week that it is late.
Late Submission of Course Materials:
Late submission of homework will be accessed a 10% penalty for each week that it is late.
Classroom Rules of Conduct:
Students will need to take an active role in working out classroom projects. This includes helping other students in completing their individual tasks.
Course Topic/Dates/Assignments:
Date

Classwork

Homework

08/16/09

Descriptive Statistics

Descriptive Statistics HW handout


Chapters 1, 2 & 3

Class Project Handout


Review Central Tendencies





8/23/2009

Descriptive Statistics



Chapter 3



Review Variation





8/302009

Probability

Probability HW handout


Chapter 4

Descriptive Statistics HW due


Review Probability



Descriptive Stats. Test #1





9/6/2009

Probability Distributions



Chapters 5 & 6



Review Distributions





9/13/2009

Estimates and Sample sizes

Hypothesis HW handout


Chapter 7

Probability HW due


Probability Test #2



Review Estimates





9/20/2009

Hypothesis Testing



Chapter 8



Review Hypothesis Testing



Class Project Review





9/27/2009

Linear Correlation/Regression

Linear Regression HW Handout


Chapter 10

Class Project Review


Review Final

Hypothesis HW due




10/4/2009

Comprehensive Final

Linear Regression HW due



Class Project Due



All assignments must be turned in at



this time!!!

Academic Honesty:
Academic integrity is the foundation of the academic community. Because each student has the primary responsibility for being academically honest, students are advised to read and understand all sections of this policy relating to standards of conduct and academic life. Park University 20092010 Undergraduate Catalog Page 92
Plagiarism:
Plagiarism involves the use of quotations without quotation marks, the use of quotations without indication of the source, the use of another's idea without acknowledging the source, the submission of a paper, laboratory report, project, or class assignment (any portion of such) prepared by another person, or incorrect paraphrasing. Park University 20092010 Undergraduate Catalog Page 92
Attendance Policy:
Instructors are required to maintain attendance records and to report absences via the online attendance reporting system.
 The instructor may excuse absences for valid reasons, but missed work must be made up within the semester/term of enrollment.
 Work missed through unexcused absences must also be made up within the semester/term of enrollment, but unexcused absences may carry further penalties.
 In the event of two consecutive weeks of unexcused absences in a semester/term of enrollment, the student will be administratively withdrawn, resulting in a grade of "F".
 A "Contract for Incomplete" will not be issued to a student who has unexcused or excessive absences recorded for a course.
 Students receiving Military Tuition Assistance or Veterans Administration educational benefits must not exceed three unexcused absences in the semester/term of enrollment. Excessive absences will be reported to the appropriate agency and may result in a monetary penalty to the student.
 Report of a "F" grade (attendance or academic) resulting from excessive absence for those students who are receiving financial assistance from agencies not mentioned in item 5 above will be reported to the appropriate agency.
Park University 20092010 Undergraduate Catalog Page 95
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Rubric
Competency  Exceeds Expectation (3)  Meets Expectation (2)  Does Not Meet Expectation (1)  No Evidence (0) 
Evaluation Outcomes 10  Can perform and interpret a hypothesis test with 100% accuracy.  Can perform and interpret a hypothesis test with at least 80% accuracy.  Can perform and interpret a hypothesis test with less than 80% accuracy.  Makes no attempt to perform a test of hypothesis. 

Synthesis Outcomes 10  Can compute and interpret a confidence interval for a sample mean for small and large samples, and for a proportion with 100% accuracy.  Can compute and interpret a confidence interval for a sample mean for small and large samples, and for a proportion with at least 80% accuracy.  Can compute and interpret a confidence interval for a sample mean for small and large samples, and for a proportion with less than 80% accuracy.  Makes no attempt to compute or interpret a confidence interval. 

Analysis Outcomes 10  Can apply the normal distribution, Central limit theorem, and binomial distribution to practical problems with 100% accuracy.  Can apply the normal distribution, Central limit theorem, and binomial distribution to practical problems with at least 80% accuracy.  Can apply the normal distribution, Central limit theorem, and binomial distribution to practical problems with less than 80% accuracy.  Makes no attempt to apply the normal distribution, Central Limit Theorem, or binomial distribution. 

Terminology Outcomes 4,5,7  Can explain event, simple event, mutually exclusive events, independent events, discrete random variable, continuous random variable, sample, and population with 100% accuracy.  Can explain event, simple event, mutually exclusive events, independent events, discrete random variable, continuous random variable, sample, and population with at least 80% accuracy.  Can explain event, simple event, mutually exclusive events, independent events, discrete random variable, continuous random variable, sample, and population with less than 80% accuracy.  Makes no attempt to explain any of the terms listed. 

Concepts Outcomes 1,6  Can explain mean, median, mode, standard deviation, simple probability, and measures of location with 100% accuracy.  Can explain mean, median, mode, standard deviation, simple probability, and measures of location with at least 80% accuracy.  Can explain mean, median, mode, standard deviation, simple probability, and measures of location with less than 80% accuracy.  Makes no attempt to define any concept. 

Application Outcomes 1,2,3,8,9  Compute probabilities using addition multiplication, and complement rules and conditional probabilities. Compute statistical quantities for raw and grouped data. Compute probabilities using combinatorics, discrete random variables, and continuous random variables. All must be done with 100% accuracy.  Compute probabilities using addition multiplication, and complement rules and conditional probabilities. Compute statistical quantities for raw and grouped data. Compute probabilities using combinatorics, discrete random variables, and continuous random variables. All must be done with at least 80% accuracy.  Compute probabilities using addition multiplication, and complement rules and conditional probabilities. Compute statistical quantities for raw and grouped data. Compute probabilities using combinatorics, discrete random variables, and continuous random variables. All are done with less than 80% accuracy.  Makes no attempt to compute any of the probabilities or statistics listed. 

Whole Artifact Outcomes 7,8  Can apply the concepts of probability and statistics to realworld problems in other disciplines with 100 % accuracy.  Can apply the concepts of probability and statistics to realworld problems in other disciplines with at least 80 % accuracy.  Can apply the concepts of probability and statistics to realworld problems in other disciplines with less than 80% accuracy.  Makes no attempt to apply the concepts to realworld problems. 

Components Outcomes 1  Can use a calculator or other computing device to compute statistics with 100% accuracy.  Can use a calculator or other computing device to compute statistics with at least 80% accuracy.  Can use a calculator or other computing device to compute statistics with less 80% accuracy.  Makes no attempt to use any computing device to compute statistics. 
Copyright:
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and can not be reused without author permission.
Last Updated:7/1/2010 3:32:26 PM